Southeast Airport (ASR) Accumulated Expenses (2009 - 2024)
Southeast Airport (ASR) recorded Accumulated Expenses of $204.44 million in the quarter ended Sep 30, 2024, down 39.8% from $339.79 million a year earlier and down 1.9% from the prior quarter.
Southeast Airport (ASR) Accumulated Expenses (2009 - 2024) Analysis & Trends
As of Dec 30, 2023, Southeast Airport reported Accumulated Expenses of $187.36 million, up 8.8% from the prior year.
- Annual Accumulated Expenses has increased for three straight years, with a five-year compound annual growth rate of 18.4% (years ended Dec 2018 to Dec 2023).
- Across earlier years, Accumulated Expenses came in at $172.15 million in the year ended Dec 30, 2022 (+22.4%), $140.69 million in the year ended Dec 30, 2021 (+135.4%) and $59.77 million in the year ended Dec 30, 2020.
- Quarterly Accumulated Expenses has ranged from $61.93 million in the quarter ended Dec 30, 2020 to $339.79 million in the quarter ended Sep 30, 2023 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in six of the last eight quarters, with growth averaging 33.8%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 131.3% in the quarter ended Jun 30, 2023, against a decline of 39.8% in the quarter ended Sep 30, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $208.41 million (quarter ended Jun 30, 2024), $208.1 million (quarter ended Mar 31, 2024) and $187.36 million (quarter ended Dec 30, 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.79 Bn | 156.31 Bn | - |
| 2 | Csx | 86.21 Bn | 82.43 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.26 Bn | 73.97 Bn | - |
| 4 | United Parcel Service | 70.36 Bn | 47.28 Bn | - |
| 5 | Norfolk Southern | 69.74 Bn | 64.38 Bn | - |
| 6 | Fedex | 67.91 Bn | 33.85 Bn | - |
| 7 | Delta Air Lines | 55.33 Bn | 37.51 Bn | - |
| 8 | Old Dominion Freight Line | 36.95 Bn | 36.21 Bn | - |
| 9 | United Airlines Holdings | 36.28 Bn | -20.09 Bn | - |
| 10 | Southeast Airport | 6.41 Bn | 3.26 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 204.44 Mn |
| Jun 30, 2024 | 208.41 Mn |
| Mar 31, 2024 | 208.10 Mn |
| Dec 30, 2023 | 187.36 Mn |
| Sep 30, 2023 | 339.79 Mn |
| Jun 30, 2023 | 321.49 Mn |
| Mar 31, 2023 | 192.22 Mn |
| Dec 30, 2022 | 172.15 Mn |
| Sep 30, 2022 | 147.31 Mn |
| Jun 30, 2022 | 139.00 Mn |
| Mar 31, 2022 | 133.58 Mn |
| Dec 30, 2021 | 140.69 Mn |
| Sep 30, 2021 | 226.58 Mn |
| Jun 30, 2021 | 197.59 Mn |
| Dec 30, 2020 | 61.93 Mn |
| Dec 31, 2019 | 91.68 Mn |
| Sep 30, 2019 | 86.32 Mn |
| Jun 30, 2019 | 87.98 Mn |
| Dec 30, 2018 | 80.57 Mn |
| Mar 31, 2018 | 81.97 Mn |
Southeast Airport Accumulated Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=ASR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ASR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=ASR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();